Alternatives and similar repositories for cccl:

Users that are interested in cccl are comparing it to the libraries listed below

• NVIDIA / cuCollections
  ☆503Updated this week
• NVIDIA / MatX
  An efficient C++17 GPU numerical computing library with Python-like syntax
  ☆1,239Updated this week
• NVIDIA / CUDALibrarySamples
  CUDA Library Samples
  ☆1,720Updated 3 weeks ago
• NVIDIA / nvbench
  CUDA Kernel Benchmarking Library
  ☆547Updated last month
• NVIDIA / cub
  [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
  ☆1,690Updated last year
• eyalroz / cuda-api-wrappers
  Thin, unified, C++-flavored wrappers for the CUDA APIs
  ☆813Updated 2 weeks ago
• rapidsai / rmm
  RAPIDS Memory Manager
  ☆526Updated this week
• uxlfoundation / oneMath
  oneAPI Math Library (oneMath)
  ☆635Updated last week
• NVIDIA / multi-gpu-programming-models
  Examples demonstrating available options to program multiple GPUs in a single node or a cluster
  ☆587Updated 2 months ago
• NVIDIA / NVTX
  The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resou…
  ☆330Updated 3 weeks ago
• stotko / stdgpu
  stdgpu: Efficient STL-like Data Structures on the GPU
  ☆1,187Updated last month
• NVIDIA / jitify
  A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).
  ☆519Updated 7 months ago
• moderngpu / moderngpu
  Patterns and behaviors for GPU computing
  ☆1,690Updated 2 years ago
• AdaptiveCpp / AdaptiveCpp
  Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C+…
  ☆1,477Updated this week
• NVIDIA / cudnn-frontend
  cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
  ☆484Updated 3 weeks ago
• NVIDIA / libcudacxx
  [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
  ☆2,296Updated 11 months ago
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆889Updated last year
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆658Updated 4 months ago
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,401Updated this week
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆579Updated last year
• ROCm / HIPIFY
  HIPIFY: Convert CUDA to Portable C++ Code
  ☆537Updated this week
• NVIDIA / cutlass
  CUDA Templates for Linear Algebra Subroutines
  ☆5,999Updated last week
• NVIDIA / stdexec
  `std::execution`, the proposed C++ framework for asynchronous and parallel programming.
  ☆1,713Updated last week
• ROCm / composable_kernel
  Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
  ☆334Updated this week
• NVIDIA / thrust
  [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
  ☆4,946Updated 11 months ago
• Apress / data-parallel-CPP
  Source code for 'Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL' by James Reinders, Ben A…
  ☆257Updated last week
• NVIDIA / cuda-python
  CUDA Python: Performance meets Productivity
  ☆1,045Updated this week
• codeplaysoftware / syclacademy
  SYCL Academy, a set of learning materials for SYCL heterogeneous programming
  ☆467Updated this week
• romeric / Fastor
  A lightweight high performance tensor algebra framework for modern C++
  ☆763Updated 9 months ago
• NVIDIA / gdrcopy
  A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
  ☆923Updated last month